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In-depth analysis with python.

Análise Exploratória de Dados utilizando a biblioteca Sweetviz no Google Colab

Analyzes housing data from Beijing city

Análise de dados de uma playlist minha do Spotify (2020 à 2022); revelando insights sobre as músicas, artistas e gêneros dessa playlist. Exploro visualizações, desde nuvens de palavras até gráficos interativos. 🎶 📊

Welcome to the "Olympic Data Analysis" project! This data analysis project offers a comprehensive analysis of Olympic data, providing insights into medal tallies, participating nations, athletes, and more. The project is deployed on the Render cloud platform for easy access. 🎉

Penguins Exploratory Data Analysis (EDA)

Проекты, сделанные мной во время обучения в Томском государственном университете и для конкурса Yandex DataLens

Nestes Tutoriais o leitor terá acesso aos principais e mais utilizados comandos para uma boa análise, preparação e visualização de dados.

Atividades referentes ao Avante Bootcamp de Ciência de Dados.

Machine Learning Project

Healthcare provider fraud detector is a classification machine learning project to predict the potential fraudulent providers based on the healthcare claims filed.

This project uses a Support Vector Machine (SVM) to classify the Iris dataset with required accuracy. It includes data preparation, training the model, and evaluating its performance, with results shown in a confusion matrix. The project is available as both a Jupyter Notebook and Python script.

Repo to derive insights from data collected during MOCK PLACEMENTS (2021)

🎓 Laboratory exercises from the course "Statistical Methods of Big Data" of the System Analysis of Uzhhorod National University.

Projeto para a faculdade utilizando uma base de dados e montando gráficos com pandas e outros

This Python project involves creating a basic Movie Recommender System using Pandas. We'll explore collaborative and content-based filtering methods to suggest movies similar to a user's choice. By leveraging Python and Pandas, we import and manipulate the dataset & enhance user experience.